📊 Showing 4 results | 📏 Metric: Accuracy (%)
Rank | Model | Paper | Accuracy (%) | Date | Code |
---|---|---|---|---|---|
1 | MAE (ViT-B/16) | FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning | 65.29 | 2023-03-13 | 📦 charmonyshen/firerisk |
2 | DINO (ViT-B/16) | FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning | 63.36 | 2023-03-13 | 📦 charmonyshen/firerisk |
3 | ViT-B/16 | FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning | 63.31 | 2023-03-13 | 📦 charmonyshen/firerisk |
4 | ResNet-50 | FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning | 63.20 | 2023-03-13 | 📦 charmonyshen/firerisk |